Ankit Pensia

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 44

Top Topics

Hypothesis Testing

Robust Regression

Dense Motion Estimation

Top Venues

Publications

Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination. CoRR (2024)
Arun Jambulapati, Syamantak Kumar, Jerry Li, Shourya Pandey, Ankit Pensia, Kevin Tian
Black-Box k-to-1-PCA Reductions: Theory and Applications. COLT (2024)
Ankit Pensia, Varun S. Jog, Po-Ling Loh
Communication-Constrained Hypothesis Testing: Optimality, Robustness, and Reverse Data Processing Inequalities. IEEE Trans. Inf. Theory 70 (1) (2024)
Pranjal Awasthi, Satyen Kale, Ankit Pensia
Semi-supervised Group DRO: Combating Sparsity with Unlabeled Data. ALT (2024)
Ankit Pensia
A Sub-Quadratic Time Algorithm for Robust Sparse Mean Estimation. CoRR (2024)
Ankit Pensia, Varun S. Jog, Po-Ling Loh
The Sample Complexity of Simple Binary Hypothesis Testing. CoRR (2024)
Ankit Pensia, Varun S. Jog, Po-Ling Loh
The Sample Complexity of Simple Binary Hypothesis Testing. COLT (2024)
Arun Jambulapati, Syamantak Kumar, Jerry Li, Shourya Pandey, Ankit Pensia, Kevin Tian
Black-Box k-to-1-PCA Reductions: Theory and Applications. CoRR (2024)
Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA. ICML (2023)
Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia, Thanasis Pittas
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA. CoRR (2023)
Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Ankit Pensia, Thanasis Pittas
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm. CoRR (2023)
Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression. NeurIPS (2023)
Ankit Pensia, Amir-Reza Asadi, Varun S. Jog, Po-Ling Loh
Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints. COLT (2023)
Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia
Gaussian Mean Testing Made Simple. SOSA (2023)
Ilias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Ankit Pensia, Thanasis Pittas
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm. NeurIPS (2023)
Ankit Pensia, Amir R. Asadi, Varun S. Jog, Po-Ling Loh
Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints. CoRR (2023)
Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia, Thanasis Pittas
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression. CoRR (2023)
Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
Robust Sparse Mean Estimation via Sum of Squares. CoRR (2022)
Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering. CoRR (2022)
Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia, Thanasis Pittas
Streaming Algorithms for High-Dimensional Robust Statistics. ICML (2022)
Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia
Gaussian Mean Testing Made Simple. CoRR (2022)
Ankit Pensia, Varun S. Jog, Po-Ling Loh
Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities. CoRR (2022)
Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Ankit Pensia
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. CoRR (2022)
Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering. NeurIPS (2022)
Ilias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Ankit Pensia
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. NeurIPS (2022)
Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
Robust Sparse Mean Estimation via Sum of Squares. COLT (2022)
Ankit Pensia, Po-Ling Loh, Varun S. Jog
Simple Binary Hypothesis Testing under Communication Constraints. ISIT (2022)
Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia, Thanasis Pittas
Streaming Algorithms for High-Dimensional Robust Statistics. CoRR (2022)
Alankrita Bhatt, Ankit Pensia
Sharp Concentration Inequalities for the Centered Relative Entropy. CoRR (2021)
Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia, Thanasis Pittas, Alistair Stewart
Statistical Query Lower Bounds for List-Decodable Linear Regression. CoRR (2021)
Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas, Alistair Stewart
Statistical Query Lower Bounds for List-Decodable Linear Regression. NeurIPS (2021)
Ankit Pensia, Shashank Rajput, Alliot Nagle, Harit Vishwakarma, Dimitris S. Papailiopoulos
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient. CoRR (2020)
Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia
Outlier Robust Mean Estimation with Subgaussian Rates via Stability. NeurIPS (2020)
Ankit Pensia, Varun S. Jog, Po-Ling Loh
Extracting Robust and Accurate Features via a Robust Information Bottleneck. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Ankit Pensia, Shashank Rajput, Alliot Nagle, Harit Vishwakarma, Dimitris S. Papailiopoulos
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient. NeurIPS (2020)
Ankit Pensia, Varun S. Jog, Po-Ling Loh
Robust regression with covariate filtering: Heavy tails and adversarial contamination. CoRR (2020)
Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia
Outlier Robust Mean Estimation with Subgaussian Rates via Stability. CoRR (2020)
Ankit Pensia, Varun S. Jog, Po-Ling Loh
Mean estimation for entangled single-sample distributions. ISIT (2019)
Ankit Pensia, Varun S. Jog, Po-Ling Loh
Extracting robust and accurate features via a robust information bottleneck. CoRR (2019)
Ankit Pensia, Varun S. Jog, Po-Ling Loh
Estimating location parameters in entangled single-sample distributions. CoRR (2019)
Rajat Panda, Ankit Pensia, Nikhil Mehta, Mingyuan Zhou, Piyush Rai
Deep Topic Models for Multi-label Learning. AISTATS (2019)
Ankit Pensia, Varun S. Jog, Po-Ling Loh
Generalization Error Bounds for Noisy, Iterative Algorithms. ISIT (2018)
Ankit Pensia, Varun S. Jog, Po-Ling Loh
Generalization Error Bounds for Noisy, Iterative Algorithms. CoRR (2018)
Ankit Pensia, Gaurav Sharma, Gaurav Pandey, James R. McBride
Fast Localization of Autonomous Vehicles Using Discriminative Metric Learning. CRV (2017)